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MATH 4370  Linear Algebra and Matrix Analysis 
Vector and matrix norms, matrix factorizations, eigenvalues and eigenvectors, theory of nonnegative matrices. Applications to differential equations, math biology, numerical analysis, digital image processing, data mining, GPS, Markov chains, graph theory, etc will be given in this course. Not to be held with the former MATH 4310. Prerequisite: MATH 2090 (C) or MATH 2091 (C) or the former MATH 2300 (B) or the former MATH 2301 (B) or the former MATH 2350 (C) or the former MATH 2352 (C).
 3.0 Credit hours

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